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Remote option and desirable AI/backend scope increase applicants, but senior 10+ years reduces candidate pool.
Highly domain-specific distributed systems, networking, and AI-infra expertise required, limiting cross-industry transferability.
Explicit 10+ years, Principal seniority, and mandatory distributed-systems and AI infra experience tightly filter candidates.
Define and drive innovative technical vision for AI, distributed systems, and networking platforms.
Lead end-to-end development of scalable, secure, real-time data processing and AI services including architecture, design, implementation, testing, deployment, and operations.
Mentor engineering teams and uphold high standards in engineering excellence, system performance, and operational readiness.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field, or equivalent practical experience.
10+ years experience in full software development lifecycle and programming (Python, Java, Go, or C++ preferred).
3+ years leading design and architecture of large-scale distributed systems on cloud platforms (AWS, Azure, Google Cloud).
Experience with real-time microservices, distributed data platforms, AI/agentic systems, network telemetry, or large-scale analytics.
Senior technical leader capable of solving complex, ambiguous problems with pragmatic, production-ready solutions.
Experienced in building highly scalable, event-driven, real-time systems and AI-driven platforms.
Proficient in driving technical strategy, mentoring engineers, and fostering innovation in cloud-native distributed environments.